docs

README.md

@@ -3,6 +3,10 @@ license: apple-amlr
 library_name: ml-sharp
 pipeline_tag: image-to-3d
 base_model: apple/Sharp
+tags:
+  - coreml
+  - monocular-view-synthesis
+  - gaussian-splatting
 ---
 
 
@@ -11,12 +15,15 @@ base_model: apple/Sharp
 [![Project Page](https://img.shields.io/badge/Project-Page-green)](https://apple.github.io/ml-sharp/)
 [![arXiv](https://img.shields.io/badge/arXiv-2512.10685-b31b1b.svg)](https://arxiv.org/abs/2512.10685)
 
-> This software project accompanies the research paper: _Sharp Monocular View Synthesis in Less Than a Second_
-by _Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan Richter and Vladlen Koltun_.
 
-We present SHARP, an approach to photorealistic view synthesis from a single image. Given a single photograph, SHARP regresses the parameters of a 3D Gaussian representation of the depicted scene. This is done in less than a second on a standard GPU via a single feedforward pass through a neural network. The 3D Gaussian representation produced by SHARP can then be rendered in real time, yielding high-resolution photorealistic images for nearby views. The representation is metric, with absolute scale, supporting metric camera movements.
+This software project is a communnity contribution and not affiliated with the original the research paper: 
 
-#### ✅ **Now available natively on Apple devices** — This release includes a fully validated **Core ML (.mlpackage)** version of SHARP, optimized for CPU, GPU, and Neural Engine inference on macOS and iOS.
+
+> _Sharp Monocular View Synthesis in Less Than a Second_ by _Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan Richter and Vladlen Koltun_.
+
+> We present SHARP, an approach to photorealistic view synthesis from a single image. Given a single photograph, SHARP regresses the parameters of a 3D Gaussian representation of the depicted scene. This is done in less than a second on a standard GPU via a single feedforward pass through a neural network. The 3D Gaussian representation produced by SHARP can then be rendered in real time, yielding high-resolution photorealistic images for nearby views. The representation is metric, with absolute scale, supporting metric camera movements.
+
+#### This release includes a fully validated **Core ML (.mlpackage)** version of SHARP, optimized for CPU, GPU, and Neural Engine inference on macOS and iOS.
 
 ![](viewer.gif)